Transcutaneous Electrical Stimulation Technology for Functional Electrical Therapy Applications
Bibliographic record
Abstract
Key to a successful application of functional electrical stimulation as a rehabilitation therapy (also termed functional electrical therapy or FET) is modular, portable, programmable, and versatile transcutaneous electrical stimulation technology. In this article a hardware platform, Compex Motion, that has been used successfully to develop numerous FET systems for walking, reaching and grasping is presented. The Compex Motion stimulator can be programmed to generate any arbitrary stimulation sequence, which can be controlled or regulated using any external sensor or sensory system. The stimulator has four current regulated stimulation channels that can be expanded to multiples of four channels (8,16,20,...). The stimulation sequences are stored on readily exchangeable memory chip-card. By replacing the chip-card the function of the stimulator is changed instantaneously to provide another function or FET treatment. The Compex Motion system was used as a FET device with more than 60 acute and chronic stroke and spinal cord injured (SCI) patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".